A conservative method for numerical solution of the population balance equation, and application to soot formation

被引:39
作者
Liu, Anxiong [1 ]
Rigopoulos, Stelios [1 ]
机构
[1] Imperial Coll London, Dept Mech Engn, Exhibit Rd, London SW7 2AZ, England
基金
英国工程与自然科学研究理事会;
关键词
Population balance; Coagulation; Soot formation; Aerosol dynamics; PARTICLE-SIZE DISTRIBUTION; DIFFUSION FLAMES; AEROSOL DYNAMICS; QUADRATURE METHOD; LAMINAR; MODEL; COAGULATION; DISCRETIZATION; CONDENSATION; AGGREGATION;
D O I
10.1016/j.combustflame.2019.04.019
中图分类号
O414.1 [热力学];
学科分类号
摘要
The objective of this paper is to present a finite volume method for the discretisation of the population balance equation with coagulation, growth and nucleation that combines: (a) accurate prediction of the distribution with a small number of sections, (b) conservation of the first moment (or any other single moment) in a coagulation process, (c) applicability to an arbitrary non-uniform grid, and (d) speed and robustness that make it suitable for combining with a CFD code for solving problems such as soot formation in flames. The conservation of the first moment of a distribution with respect to particle volume is of particular importance for two reasons: it is an invariant during a coagulation process and it represents conservation of mass. The method is based on a geometric evaluation of the double integrals arising from the finite volume discretisation of the coagulation terms and an exact balance of coagulation source and sink terms to ensure moment conservation. Extensive testing is performed by comparison with analytical solutions and direct numerical solutions of the discrete PBE for both theoretical and physically important coagulation kernels. Finally, the method is applied to the simulation of a laminar co-flow diffusion sooting flame, in order to assess its potential for coupling with CFD, chemical kinetics, transport and radiation models. The results show that accurate solutions can be obtained with a small number of sections, and that the PBE solution requires less than one fourth of the time of the complete simulation, only half of which is spent on the discretisation (the remaining being for the evaluation of the temperature dependence of the coagulation kernel). (C) 2019 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:506 / 521
页数:16
相关论文
共 68 条
[1]   Modelling of soot formation in laminar diffusion flames using a comprehensive CFD-PBE model with detailed gas-phase chemistry [J].
Akridis, Petros ;
Rigopoulos, Stelios .
COMBUSTION THEORY AND MODELLING, 2017, 21 (01) :35-48
[2]  
[Anonymous], 2000, SMOKE DUST HAZE
[3]   Kinetic modeling of soot formation with detailed chemistry and physics:: Laminar premixed flames of C2 hydrocarbons [J].
Appel, J ;
Bockhorn, H ;
Frenklach, M .
COMBUSTION AND FLAME, 2000, 121 (1-2) :122-136
[4]   Soot particles inception and PAH condensation modelling applied in a soot model utilizing a sectional method [J].
Aubagnac-Karkar, Damien ;
El Bakali, Abderrahman ;
Desgroux, Pascale .
COMBUSTION AND FLAME, 2018, 189 :190-206
[5]   Sectional soot model coupled to tabulated chemistry for Diesel RANS simulations [J].
Aubagnac-Karkar, Damien ;
Michel, Jean-Baptiste ;
Colin, Olivier ;
Vervisch-Kljakic, Pauline E. ;
Darabiha, Nasser .
COMBUSTION AND FLAME, 2015, 162 (08) :3081-3099
[6]   A stochastic approach to calculate the particle size distribution function of soot particles in laminar premixed flames [J].
Balthasar, A ;
Kraft, M .
COMBUSTION AND FLAME, 2003, 133 (03) :289-298
[7]  
Blanquart G., 2009, Combustion Generated Fine Carbonaceous Particles, P437, DOI DOI 10.5445/KSP/1000013744
[8]   A FAST, APPROXIMATIVE METHOD FOR INTEGRATING STOCHASTIC COALESCENCE EQUATION [J].
BLECK, R .
JOURNAL OF GEOPHYSICAL RESEARCH, 1970, 75 (27) :5165-+
[9]   A recipe for image characterization of fractal-like aggregates [J].
Brasil, AM ;
Farias, TL ;
Carvalho, MG .
JOURNAL OF AEROSOL SCIENCE, 1999, 30 (10) :1379-1389
[10]  
COLKET MB, 1994, SPRINGER SERIES CHEM, V59, P442